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 author = {Sim, Hyeong Seop and Kim, Kee-Eung and Kim, Jin Hyung and Chang, Du-Seong and Koo, Myoung-Wan},
 title = {Symbolic heuristic search value iteration for factored {POMDP}s},
 booktitle = {Proceedings of the 23rd national conference on Artificial intelligence ({AAAI}-08)},
 year = {2008},
 location = {Chicago, Illinois},
 pages = {1088--1093},
 numpages = {6}
} 

@article{rtdp, 
 author = {Barto, Andrew G. and Bradtke, Steven J. and Singh, Satinder P.},
 title = {Learning to act using real-time dynamic programming},
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 month = {Jan},
 year = {1995},
 pages = {81--138}
} 

@inproceedings{rff, 
 author = {Teichteil-K\"{o}nigsbuch, Florent and Kuter, Ugur and Infantes, Guillaume},
 title = {Incremental plan aggregation for generating policies in {MDP}s},
 booktitle = {Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems ({AAMAS-10}): Volume 1},
 year = {2010},
 location = {Toronto, Canada},
 pages = {1231--1238}
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@unpublished{rddl,
      author = {Scott Sanner},
      title = {Relational Dynamic Influence Diagram Language ({RDDL}): Language Description},
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@INPROCEEDINGS{probvsreplan,
    author = {Iain Little and Sylvie Thi{\'e}baux},
    title = {Probabilistic planning vs. replanning},
    booktitle = {ICAPS Workshop on IPC: Past, Present and Future},
    year = {2007}
}

@INPROCEEDINGS{sarsop,
AUTHOR    = {Hanna Kurniawati and David Hsu and Wee Sun Lee},
TITLE     = {{SARSOP}: Efficient Point-Based {POMDP} Planning by Approximating Optimally Reachable Belief Spaces},
BOOKTITLE = {Proceedings of Robotics: Science and Systems IV},
YEAR      = {2008},
ADDRESS   = {Zurich, Switzerland},
MONTH     = {June}}

@inproceedings{uct,
  author    = {Levente Kocsis and
               Csaba Szepesv{\'a}ri},
  title     = {Bandit Based {M}onte-{C}arlo Planning},
  booktitle = {Proceedings of the 17th European Conference on Machine Learning ({ECML}-06)},
  year      = {2006},
  pages     = {282-293}
}

@inproceedings{pomcp,
  author    = {David Silver and
               Joel Veness},
  title     = {{M}onte-{C}arlo Planning in Large {POMDPs}},
  booktitle = {Proceedings of 24th Conference on Neural Information Processing Systems ({NIPS}-10)},
  year      = {2010},
  pages     = {2164-2172}
}

@article{ippc04,
  author = {Younes, H{\aa}kan L. S. and Littman, Michael L. and Weissman, David and Asmuth, John},
  journal = {Journal of Artificial Intelligence Research (JAIR)},
  pages = {851-887},
  title = {The First Probabilistic Track of the International Planning Competition.},
  volume = 24,
  year = 2005
}

@inproceedings{ffreplan,
  author    = {Sungwook Yoon and
               Alan Fern and
               Robert Givan},
  title     = {{FF}-Replan: A Baseline for Probabilistic Planning},
  booktitle = {Proceedings of the 17th International Conference on 
              Automated Planning and Scheduling ({ICAPS}-07)},
  year      = {2007},
  pages     = {352--359}
}

@misc{ppddl,
  author = "Hakan Younes and Michael Littman",
  title = "{PPDDL}: {T}he Probabilistic Planning Domain Definition Language: \texttt{http://www.cs.cmu.edu/\textasciitilde lorens/papers/ppddl.pdf}",
  year = "2004"
}

@article{obtusewedge,
 author = {Yoon, Sungwook and Fern, Alan and Givan, Robert},
 title = {Learning Control Knowledge for Forward Search Planning},
 journal = {J. Mach. Learn. Res.},
 volume = {9},
 year = {2008},
 issn = {1533-7928},
 pages = {683--718}
 }

@inproceedings{PbP,
 author    = "Gerevini, A. and Saetti, A. and Vallati, M.",
 title     = "An Automatically Configurable Portfolio-based Planner with 
              Macro-actions: PbP",
 booktitle = "Proceedings of the 19th International Conference on 
              Automated Planning and Scheduling ({ICAPS}-09)",
 pages     = "350--353",
 year      = "2009"
}
@article{ipclearningtrack08,
 author = {Fern, Alan and Khardon, Roni and Tadepalli, Prasad},
 title = {The first learning track of the international planning competition},
 journal = {Machine Learning},
 volume = {84},
 issue = {1-2},
 month = {July},
 year = {2011},
 issn = {0885-6125},
 pages = {81--107}
} 

 


